Abstract
The main goal of the paper is to propose an effective stopping criterion based on diversity of the population implemented in cooperative search approach to the vehicle routing problem. The main idea is to control diversity of the population during the whole process of solving particular problem and to stop algorithm when the stagnation in the population is observed, i.e. diversity of the population does not significantly change during a given period of time. Computational experiment which has been carried out confirmed that using the proposed diversity-based stopping criterion may significantly reduce the computation time when compared to using traditional criterion where algorithm stops after a given period of time (or iterations), without significant deterioration of the quality of obtained results.
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Barbucha, D. (2015). Effective Stopping Rule for Population-Based Cooperative Search Approach to the Vehicle Routing Problem. In: Neves-Silva, R., Jain, L., Howlett, R. (eds) Intelligent Decision Technologies. IDT 2017. Smart Innovation, Systems and Technologies, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-319-19857-6_6
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DOI: https://doi.org/10.1007/978-3-319-19857-6_6
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